Bioengineering 424 --- Advanced Systems and Synthetic Biology
Instructor: Herbert Sauro, Associate Professor, Bioengineering
UW Course Catalog Description: This course assumes a basic understanding of synthetic and systems biology. It introduces a variety of advanced and more in-depth topics on cellular networks, including their operation and engineering. The course is intended for engineering and computer science students. Topics include advanced mathematical modeling of cellular networks; computational standards in systems and synthetic biology; computer algorithms for computational analysis; metabolic flux analysis, control and engineering; protein signaling pathways, analysis, control and engineering. Offered jointly with EE 424/CSE 438. Prerequisite: Introduction to Synthetic Biology, EE/BIOE 423/CSE 437.
Goals: For students to acquire the necessary tools and knowledge for understanding the dynamic behavior cellular systems together with engineering principles for the redesign of synthetic biochemical systems.
At the end of this course students will be able to:
- Understand the different modeling approaches used to represent cellular networks (Structural, Continuous and Stochastic Approaches)
- Understand the differences between the fundamental cellular subsystems, metabolic, protein and genetic and how this influences potential engineering approaches.
- Develop an appreciation for the need for standards and ontologies in model exchange and part representation.
- Understand, implement and use a variety of computational approaching including FBA, MFA, Bifurcation and evolutionary methods.
- Understand the basic principles of metabolic control including small signal analysis and elementary mode analysis.
- Learn how to carry out a robustness analysis of a metabolic pathway and propose strategies for engineering pathways.
- Understand the control of protein networks, highlighting differences and similarities with genetic and metabolic systems.
- Use computational analysis to study the dynamic properties of protein networks and the design of robust systems.
Textbook: U. Alon, Control Systems Engineering, An Introduction to Systems Biology: Design Principles of Biological Circuits, Chapman and Hall, 2006.
Reference text: None.
- The importance of network structure in cellular networks
- Review of continuous and stochastic models of cellular networks
- The interplay between structure and dynamics
- Bifurcation analysis and evolutionary design approaches in synthetic biology.
- Standards and ontologies (SBML, CellML, PoBoL, CAD in synthetic biology)
- Control systems in metabolism
- Control systems in protein networks
- Robustness and small signal analysis of cellular pathways
- Advanced structural analysis including elementary modes, FBA and MFA
- Metabolic engineering strategies
- Protein networks, control and dynamical analysis
- Protein network engineering
Course Structure: The class meets for three lectures a week (MWF). There is weekly homework due; Grading is based on homework, one midterm exam, and a final exam. The grading percentages and nature of the exams are left to the discretion of the instructor.
Computer Resources: The course will use MATLAB or any other suitable software platform for homework problems. The students complete an average of 3 hours of computer work per week.
(a) An ability to apply knowledge of mathematics, science, and engineering. Lectures and homework deal with the application of differential equations, linear algebra and Laplace transforms to control systems.
(c) An ability to communicate effectively.
(f) An understanding of biology and physiology.
Prepared By: Herbert Sauro
Last revised: 4/28/2009